This course is designed for engineers who already run Kubernetes in production and want to reach expert‑level understanding.
Participants learn how the Kubernetes control plane makes decisions, how to control workload placement using advanced scheduling, and how autoscaling works at workload and cluster level. They design advanced networking and storage architectures, extend Kubernetes using CRDs and Operators, implement GitOps‑based delivery with ArgoCD or Flux, and debug and recover from real‑world production failures. After completing the course, engineers are able to operate and evolve Kubernetes platforms reliably in complex environments.